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Match Com Jobs (NOW HIRING)

CoStar Group

Product Marketing Manager, Land.com

Austin, TX · On-site

$152K/yr

About Land.com Land.com is the leading marketplace for rural and recreational land, connecting ... Commuter and parking benefits * 401(K) retirement plan with matching contributions * Employee stock ...

CoStar Group

Land.com - Software Engineer II

Austin, TX · On-site

$96K - $132K/yr

Commuter and parking benefits * 401(K) retirement plan with matching contributions * Employee stock ... Land.com CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free ...

CoStar

Product Marketing Manager, Land.com

Austin, TX

$152K/yr

About Land.com Land.com is the leading marketplace for rural and recreational land, connecting ... matching contributions Employee stock purchase plan Paid time off Tuition reimbursement On-site ...

CoStar

Land.com - Software Engineer II

Austin, TX

$96K - $132K/yr

... matching contributions Employee stock purchase plan Paid time off Tuition reimbursement On-site ... Land.com CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free ...

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How much do match com jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for match com in the United States is $52.51, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $69.71 per hour, depending on experience, location, and employer.

What is a Match Com job?

A Match Com job typically refers to a role in match communications, often related to sports events, dating services, or customer support. In sports, it involves coordinating communications between officials, teams, and broadcasters. In dating services, it may include managing user interactions or platform content. The responsibilities vary depending on the industry and company.

What is the best platform to find a job?

For job seekers, platforms like Match.com can be useful for finding employment opportunities, especially in roles that value interpersonal skills and relationship-building. Additionally, job boards such as Indeed, LinkedIn, and company career pages are widely used to search for a variety of positions across industries. Using multiple platforms and tailoring your resume can improve your chances of finding suitable employment.

What are the typical daily responsibilities of a Match Communications Specialist?

A Match Communications Specialist is responsible for managing outgoing and incoming client communications, scheduling appointments, maintaining accurate client records, and supporting matchmakers with administrative tasks. You will frequently interact with clients by phone and email, updating them on potential matches or assisting with event coordination. Collaboration with other team members is common to ensure personalized service and successful matchmaking results. This role provides a dynamic, fast-paced environment where attention to detail and multitasking are highly valued.

How can I make 2000 a week working from home?

Match Com is a remote customer service and sales job that can offer opportunities to earn significant income, especially with experience, strong communication skills, and performance-based incentives. To reach $2000 weekly, workers often need to work full-time hours, develop specialized skills, and consistently meet or exceed sales or service targets.

What are the key skills and qualifications needed to thrive in the Match Com position, and why are they important?

To thrive as a Match Communications Specialist, you need excellent organizational skills, attention to detail, and a background in administrative support or customer service. Familiarity with CRM databases, email marketing tools, and office software like Microsoft Office is often required. Strong interpersonal, problem-solving, and written communication skills help you handle client interactions and coordinate matchmaking logistics. These skills are important for ensuring clients have a seamless experience and for maintaining efficient operations within a matchmaking or dating service company.

What is the 70 30 rule in hiring?

The 70/30 rule in hiring suggests that employers should allocate approximately 70% of their focus to assessing a candidate's skills, experience, and qualifications, and 30% to evaluating cultural fit and soft skills. For roles like Match Com, balancing technical competence with interpersonal qualities is essential for successful hiring decisions.

What jobs pay 4000 a week without a degree?

Jobs that can pay around $4,000 a week without requiring a degree include skilled trades such as electricians, plumbers, and HVAC technicians, especially with experience and certifications. Sales roles like real estate agents or high-ticket sales can also reach this income level with strong performance. These positions often demand specialized skills, on-the-job training, or licensing but do not necessarily require a college degree.
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Homes.com - Machine Learning Engineer

Homes.com - Machine Learning Engineer

CoStar Group

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

Homes.com - Machine Learning Engineer


Job Description


CoStar Group is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.

We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We've continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.

Homes.com

Homes.com is already one of the fastest growing real estate portals in the industry, we are driven to be #1. Just ask Brad Bellflower, Chief Change Officer at Apartments.com. After its acquisition in 2014, Apartments.com quickly turned into the most popular place to find a place. Proven success at the highest level - and we're doing it again with the new Homes.com. Homes.com is a CoStar Group company with 20+ years' experience in leading and growing digital marketplaces. We pride ourselves on continually improving, innovating, and setting the standard for property search and marketing experiences. With Homes.com we're building a brand on the cusp of defining the industry. We're looking for big thinkers, brave leaders, and creative advertising wizards ready to influence a new age of homebuying within a tried-and-true, award-winning company.

Learn more aboutHomes.com.

This positionis located inArlington, VA and will have a 4-day onsite schedule Monday-Thursday, with Fridays work from home.

RESPONSIBILITIES

  • Collaborate on the continued improvement of CoStar's cloud-based machine learning environment

  • Design, build, test and deploy scalable, reusable and maintainable models that handle large amounts of data.

  • Collaborate with other engineers, product owners, and leadership to create ML solutions that solve practical problems and improves our customer's experience

  • Gain an understanding of the CoStar business and how ML can improve things

BASIC QUALIFICATIONS

  • Bachelor's degree required from an accredited, not-for-profit, in-person college/university

  • A track record of commitment to prior employers

  • 5+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role

  • 3+ years of programming experience with Python

  • Experiencewith recommendation systemsand (preferably) computer vision

  • Strong foundations in ML concepts including supervised/unsupervised learning, model evaluation, feature engineering, and familiarity with deep learning frameworks (PyTorchor TensorFlow)

PREFERRED SKILLS

  • Experience with ML cloud tools such as Databricks, Amazon Personalize, SageMaker

  • Experience with SQL-based relational databases (e.g. AWS RDS) or document-based databases (e.g. DynamoDB).

  • Experience solving streaming and batch data processing problems at scale

  • Experience building, deploying and optimizing ML models

WHAT'S IN IT FOR YOU

When you join CoStar Group, you'll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.

We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training and tuition reimbursement.

Our benefits package includes (but is not limited to):

  • Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug

  • Life, legal, and supplementary insurance

  • Commuter and parking benefits

  • 401(K) retirementplanwith matching contributions

  • Employee stock purchase plan

  • Paid time off

  • Tuition reimbursement

  • Complimentary gourmet coffee, tea, hot chocolate, prepared foods, fresh fruit, and other healthy snacks

  • Access to CoStar Group's Employee Resource Groups

We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply.However, please note that CoStar Groupis not able toprovide visa sponsorship for this position.

CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing.

The final salary or hourly rate offered for this role with fall within the range set forth below based on a variety of factors, including but not limited to, geographic location, skills, and competencies.


Base Compensation: 109,000 - 176,000Annually

#LI-AV1
#Homes.com


CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

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